Structural Equation Modeling Using SAS
There is a new version of this course. Please see Structural Equation Modeling Using SAS.
Business Knowledge Series course
This course introduces the experienced statistical analyst to structural equation modeling (SEM) and the new PATH language in the CALIS procedure in SAS/STAT software. The course also includes a separate e-Learning course that introduces the SAS Structural Equation Modeling for JMP interface for performing analysis of structural equation models with an easy-to-use diagram-creating interface.
Structural equation modeling is a statistical technique that combines elements of traditional multivariate models, such as regression analysis, factor analysis, and simultaneous equation modeling. These models are often represented as matrices, equations, and/or path diagrams and can explicitly account for uncertainty in observed variables and for estimation bias due to measurement error. Competing models can be compared to one another, providing information about the complex drivers of the outcome variables of interest. Many applications of SEM can be found in the social, economic, and behavioral sciences, where measurement error and uncertain causal conditions are commonly encountered.Learn how to
Who should attendMost appropriately, social, behavioral, economic, and health researchers interested in fitting complex path models and latent variable models
Before attending this course, you should
This course addresses SAS/STAT software.
Terminology and Concepts